PhD Proposal - Metrics

Ph.D. Proposal Presentation Title: Prediction of Quality of traditional software using object oriented approach to them Candidate: Triveni Supervisor: Dr. Anandan 4/15/2009 PhD Program offered by BITS Pilani Agenda          Software Metrics Object Oriented Software Metrics Measurement of Software Metrics Software Quality Predicting Software Quality The Research Problem defined Brief discussion on the research References Conclusion 4/15/2009 PhD Program offered by BITS Pilani Software Metrics   Software metric is a measure of some property of a piece of software or its specifications Traditional Software Metrics • Source lines of code • Cyclomatic complexity • Code coverage • Function point analysis 4/15/2009 PhD Program offered by BITS Pilani Object Oriented Software Metrics   When the software metric is chosen from an object oriented environment Object Oriented Software Metrics • • • • • • Cohesion Coupling Depth of Inheritance Tree Weighed methods per class Response for a class Number of children 4/15/2009 PhD Program offered by BITS Pilani Measurement of Software Metrics   Direct Measurement • Lines of code Derived Measurement • Defect density  Data Collection • Can be instrumented • Off the shelf tools support • Krakatau for Java provides over 70 metrics PhD Program offered by BITS Pilani 4/15/2009 Software Quality   Software quality is the measure of how well a software has been designed and how well it conforms to that design Quality Attributes • • • • • • Reliability Performance Scalability Usability Correctness Portability 4/15/2009 PhD Program offered by BITS Pilani Predicting Software Quality   Software Quality can be predicted based on the calculation of its metrics using Mathematical models Methods for predicting software quality • Linear Models • Non Linear Models • Fuzzy Logic • Neural Networks 4/15/2009 PhD Program offered by BITS Pilani Research Problem Defined  The research consists in identifying an object oriented software approach for the traditional software and thereby attempting to predict its quality 4/15/2009 PhD Program offered by BITS Pilani References  [1] S. Kanmani, V. Rhymend Uthariaraj, V. Sankaranarayanan, P. Thambidurai, “Object Oriented software fault prediction using neural networks” Science Direct, Information and Software Technology 49 (2007) [2] V.Basili, L. Briand,w. Melo, A validation of object oriented design metrics as quality indicators, IEEE Transactions on Software Engineering. [3] L. Briand, J. Wust, Empirical studies of quality models in object oriented systems ,in:Marvin Zelkowitz(Ed.), Advances in computers,vol.56 , Academic press, 2002. [4] S.Chidamber, C. Kemerer, A Metrics suite for object oriented design, IEEE Transactions on Software Engineering 20(6) (1994)    4/15/2009 PhD Program offered by BITS Pilani Thank You  I wish to thank you for providing me this opportunity 4/15/2009 PhD Program offered by BITS Pilani